Asia Pacific Fraud Detection Transaction Monitoring Market
Размер рынка в млрд долларов США
CAGR :
% 
 Прогнозируемый период |
2024 –2031 |
 Размер рынка (базовый год) |
USD 3.44 Billion |
 Размер рынка (прогнозируемый год) |
USD 15.80 Billion |
 CAGR |
% |
| Основные игроки рынка |
Asia-Pacific Fraud Detection Transaction Monitoring Market Segmentation, By Offering (Solution and Services), Function (KYC/Customer Onboarding, Case Management, Watch List Screening, Dashboard & Reporting, and Others), Deployment (On-Premise and Cloud), Organization Size (Large size organizations and Small & Medium Sized Organization), Application (Payment Fraud Detection, Money Laundering Detection, Account Takeover Protection, Identity Theft Prevention, and Others), Vertical (Banking, Financial Services, & Insurance (BFSI), Retail, IT & Telecommunication, Government & Defense, Healthcare, Manufacturing, Energy & Utilities, and Others) - Industry Trends and Forecast to 2031.
Fraud Detection Transaction Monitoring Market Analysis
Asia-Pacific fraud detection transaction monitoring market is experiencing robust growth due to increasing financial transactions and sophisticated cyber threats. Advanced technologies like AI and machine learning are being integrated to enhance fraud detection accuracy and reduce false positives. Regulatory pressures and the need for compliance are driving adoption across industries. Key market players include companies specializing in cybersecurity and data analytics. The market is expected to continue expanding as businesses seek to protect themselves from evolving fraud tactics.
Fraud Detection Transaction Monitoring Market Size
Asia-Pacific fraud detection transaction market is expected to reach a value of USD 15.80 billion by 2031 from 3.44 billion in 2023, growing at a CAGR of 21.1% during the forecast period 2024 to 2031. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and PESTLE analysis.
Fraud Detection Transaction Monitoring Market Trends
‘Integration of Big Data’
The integration of big data in fraud detection allows organizations to analyze extensive datasets from various sources, enabling them to identify patterns that suggest fraudulent activities. By employing big data analytics, companies can uncover hidden insights that traditional methods might miss. Predictive analytics enhances this capability by using historical data to anticipate potential fraudulent behavior before it occurs. This trends not only improves detection rates but also allows organizations to implement preventative measures. Ultimately, harnessing big data transforms how businesses approach fraud prevention, making it more effective and responsive.
Report Scope and Fraud Detection Transaction Monitoring Market Segmentation
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Report Metric |
Fraud Detection Transaction Monitoring Key Market Insights |
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Segments Covered |
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Countries Covered |
China, Japan, India, South Korea, Australia, New Zealand, Indonesia, Thailand, Malaysia, Singapore, Philippines, Taiwan, Vietnam, and Rest of Asia-Pacific |
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Key Market Players |
Amazon Web Services, Inc. (U.S.), LexisNexis (Subsidiary of Reed Elsevier) (U.S.), Mastercard (U.S.), TATA Consultancy Services Limited (India), Fiserv, Inc. (U.S.), SAS Institute Inc. (U.S.), ACI Worldwide (U.S.), Oracle (U.S.), NICE (Israel), FICO (U.S.), SymphonyAI (U.S.), UBIQUITY (U.S), Verafin Solutions ULC (Subsidiary of Nasdaq Inc.) (Canada), GB Group plc (‘GBG’) (U.K.), Quantexa (U.K.), Sum and Substance Ltd (U.K.), Hawk (Germany), Featurespace Limited (England), INETCO Systems Ltd. (Canada), Seon Technologies Ltd. (Hungary), and Feedzai (Portugal) among others |
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Market Opportunities |
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Value Added Data |
In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and PESTLE analysis. |
Fraud Detection Transaction Monitoring Market Definition
Fraud detection and transaction monitoring refer to the systems and processes used by financial institutions and businesses to identify and prevent fraudulent activities within transactions. These systems continuously analyze transaction data to detect unusual patterns or behaviors that may indicate fraud, such as unauthorized access, money laundering, or identity theft. The market for fraud detection and transaction monitoring solutions is driven by the increasing volume of online transactions, the complexity of fraud tactics, and stringent regulatory requirements aimed at reducing financial crimes. Organizations deploy advanced technologies such as AI, machine learning, and real-time analytics to enhance accuracy and efficiency in identifying fraudulent activities, ensuring compliance, and safeguarding assets.
Fraud Detection Transaction Monitoring Market Dynamics
Drivers
- Rising need for Robust Detection Systems that can Adapt to New Threats
As financial fraud schemes continue to evolve and become more sophisticated, there is a rising need for robust fraud detection systems that can effectively adapt to new threats. Traditional fraud detection methods often struggle to keep pace with the rapid changes in fraud tactics, making it essential for financial institutions and businesses to implement advanced detection systems. These systems need to leverage cutting-edge technologies such as artificial intelligence and machine learning to analyze large volumes of transaction data in real time, identifying patterns and anomalies that may indicate fraudulent activity.
For Instances,
In February 2024, according blog published by the Bill & Melinda Gates Foundation, Tazama, a new open-source fraud detection software, was launched to help monitor financial transactions for fraud and money laundering. This software aims to support financial inclusion by providing a cost-effective solution for low- and middle-income countries, which often struggle with expensive commercial fraud protection systems. Tazama allows central banks and financial institutions to protect their customers better and ensure transaction integrity. The software's open-source nature enables global collaboration to improve its capabilities, addressing the rising need for robust detection systems that adapt to evolving threats.
- Increased Focus on Identity Verification and Authentication
Heightened emphasis on identity verification and authentication is transforming the landscape of fraud detection and transaction monitoring. By incorporating advanced technologies such as biometric authentication, multi-factor verification, and AI-driven identity analysis, financial institutions can more accurately verify user identities and detect fraudulent activities. This robust approach helps mitigate risks associated with unauthorized access and fraudulent transactions, enhancing the overall security and reliability of financial systems. As identity verification technologies evolve, they will play a crucial role in strengthening fraud detection mechanisms and ensuring the integrity of transaction monitoring processes.
For instance,
In November 2023, Westpac NZ adopted advanced biometrics software from Israel-based cybersecurity company BioCatch to enhance its fraud detection systems. The technology analyzed customers' online behavior, such as typing speed and touch screen pressure, to detect unusual activities and prevent fraud. Westpac began implementing BioCatch in September, with plans for full operation by the end of the month. The bank reported preventing tens of millions of dollars in fraud over the past year, highlighting its increased focus on identity verification and authentication as scams grow more sophisticated.
Opportunities
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Utilizing AI and Machine Learning Algorithms to Enhance Accuracy
Leveraging AI and machine learning algorithms significantly improves the accuracy of fraud detection and transaction monitoring. These technologies enable systems to analyze vast amounts of data in real time, identifying complex patterns and anomalies that traditional methods might miss. By continuously learning from new data, AI algorithms adapt and refine their detection capabilities, reducing false positives and improving the precision of fraud alerts.
Moreover, AI and machine learning enhance the ability to recognize emerging fraud trends and sophisticated schemes. This dynamic adaptability ensures that monitoring systems stay ahead of evolving threats, providing more reliable and effective protection against financial crimes. As a result, financial institutions can achieve a higher level of security and operational efficiency, benefiting from advanced, automated solutions that scale with their needs.
For instance,
In June 2023, Oscilar launched its AI-powered ACH Fraud Detection solution, designed to enhance the accuracy of fraud prevention in the rapidly expanding ACH Network. The solution utilizes advanced machine learning algorithms and generative AI to identify and prevent fraudulent transactions with high precision. This is particularly important as ACH credit fraud increased by 6% from 2021 to 2023, highlighting the need for more effective fraud detection. Oscilar’s technology addresses the limitations of traditional methods, which often struggle to keep pace with evolving fraud tactics, offering a more robust and timely defense against sophisticated fraudulent activities.
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Collaborating with Fintech Companies and Technology Providers
Collaborating with fintech companies and technology providers allows financial institutions to leverage advanced technologies and innovative solutions for enhanced fraud detection. These partnerships enable the integration of cutting-edge tools and expertise, facilitating the development of more sophisticated fraud detection systems. By working together, banks and fintech firms can harness the latest advancements in AI, machine learning, and data analytics to improve accuracy, reduce false positives, and better protect against fraudulent activities.
For instance,
In December 2023, Treasury Prime partnered with Effectiv to enhance fraud detection for banks and fintechs. The collaboration allows Treasury Prime’s network to use Effectiv's advanced Transaction Monitoring solution, which employs AI to identify and mitigate fraudulent transactions in real time. This partnership helps financial institutions reduce financial losses and reputational damage by integrating sophisticated fraud prevention tools. The move underscores the importance of collaborating with fintech companies and technology providers to strengthen fraud detection and risk management in a rapidly evolving financial landscape.
Restraint/Challenge
- High Volume of Transactions Increases Detection Complexity
Managing a high volume of transactions presents significant challenges in fraud detection. As the number of transactions rises, so does the complexity of identifying fraudulent activities amidst legitimate ones. Traditional methods struggle to keep pace, often missing subtle patterns or generating false positives, leading to inefficiencies and increased risks.
Furthermore, the sheer volume of data requires robust systems capable of processing and analyzing information in real-time. Without advanced technology, financial institutions may find it difficult to effectively monitor transactions, leaving them vulnerable to sophisticated fraud schemes that can slip through the cracks.
For instances,
In June 2024, according to an article published by the NVIDIA Corporation, American Express accelerated fraud detection using AI-powered long short-term memory (LSTM) models. By leveraging parallel computing on GPUs, the company rapidly processed and analyzed vast amounts of transactional data, enabling real-time fraud detection. This approach helped American Express handle the complexities arising from their high transaction volume. The integration of accelerated computing and AI enhanced their ability to detect anomalies swiftly, improving operational efficiency and reducing potential losses due to fraud.
- High Initial Investment and Ongoing Maintenance Costs
High initial investment and ongoing maintenance costs present significant constraints for implementing advanced fraud detection systems. These financial burdens can deter smaller institutions from adopting cutting-edge technologies, potentially leaving them vulnerable to fraud. The substantial expenses associated with both the setup and continuous upkeep of such systems may strain budgets and complicate the decision-making process for institutions considering enhanced transaction monitoring solutions.
For Instances,
Several companies show significant initial investments and ongoing maintenance costs. GLAnalytics demands an annual fee of USD 8,000, while CertifID starts at USD 150 per month plus USD 10 per transaction. credolab’s modules range from USD 600 to USD 1,000 per month. These high expenses may deter organizations from adopting or sustaining these services.
This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Fraud Detection Transaction Monitoring Market Scope
Asia Pacific fraud detection transaction monitoring market is segmented into six notable segments based on the offering, function, deployment mode, organization size, application, and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
- Solution
- Services
- Professional Service
- Support & Maintenance
- Integration Services
- Consulting Services
- Training & Education
- Managed Service
- Professional Service
Function
- KYC/Customer Onboarding
- Case Management
- Watch List Screening
- Dashboard & Reporting
- Others
Deployment Mode
- On-Premise
- Cloud
Organization Size
- Small & Medium Sized Organization
- Cloud
- On-Premise
- Large Size Organizations
- Cloud
- On-Premise
Application
- Payment Fraud Detection
- Money Laundering Detection
- Account Takeover Protection
- Identity Theft Prevention
- Others
Vertical
- Banking, Financial Services, and Insurance (BFSI)
- Solution
- Services
- Retail
- Solution
- Services
- IT & Telecommunication
- Solution
- Services
- Government & Defense
- Solution
- Services
- Healthcare
- Solution
- Services
- Manufacturing
- Solution
- Services
- Energy & Utilities
- Solution
- Services
- Others
- Solution
- Services
Fraud Detection Transaction Monitoring Market Regional Analysis
The market is analyzed and market size insights and trends are provided by offering, function, deployment mode, organization size, application, and vertical as referenced above.
The countries covered in the market are China, Japan, India, South Korea, Australia, New Zealand, Indonesia, Thailand, Malaysia, Singapore, Philippines, Taiwan, Vietnam, and Rest of Asia-Pacific
China dominates the Asia Pacific fraud detection transaction monitoring market due to rising need for robust detection systems that can adapt to new threats.
The country section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as new sales, replacement sales, country demographics, regulatory acts, and import-export tariffs are some of the major pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Asia Pacific brands and their challenges faced due to large or scarce competition from local and domestic brands, and the impact of sales channels are considered while providing forecast analysis of the country data.
Fraud Detection Transaction Monitoring Market Share
The Asia-Pacific fraud detection transaction monitoring market competitive landscape provides details of competitors. Details included are company overview, company financials, revenue generated, market potential, investment in R&D, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product approvals, product width and breadth, application dominance, and product type lifeline curve. The above data points provided are only related to the company’s focus on the market.
Fraud Detection Transaction Monitoring Market Leaders Operating in the Market are:
- Amazon Web Services, Inc. (U.S.)
- LexisNexis (Subsidiary of Reed Elsevier) (U.S.)
- Mastercard (U.S.)
- TATA Consultancy Services Limited (India)
- Fiserv, Inc. (U.S.)
- SAS Institute Inc. (U.S.)
- ACI Worldwide (U.S.)
- Oracle (U.S.)
- NICE (Israel)
- FICO (U.S.)
- SymphonyAI (U.S.)
- UBIQUITY (U.S)
- Verafin Solutions ULC (Subsidiary of Nasdaq Inc.) (Canada)
- GB Group plc (‘GBG’) (U.K.)
- Quantexa (U.K.)
- Sum and Substance Ltd (U.K.)
- Hawk (Germany)
- Featurespace Limited (England)
- INETCO Systems Ltd. (Canada)
- Seon Technologies Ltd. (Hungary)
- Feedzai (Portugal)
Latest Developments in Fraud Detection Transaction Monitoring Market
- In June 2024, according to an article published by the NVIDIA Corporation, American Express accelerated fraud detection using AI-powered long short-term memory (LSTM) models. By leveraging parallel computing on GPUs, the company rapidly processed and analyzed vast amounts of transactional data, enabling real-time fraud detection. This approach helped American Express handle the complexities arising from their high transaction volume. The integration of accelerated computing and AI enhanced their ability to detect anomalies swiftly, improving operational efficiency and reducing potential losses due to fraud
- In July 2023, according to the blog published by BluEnt, companies faced increased challenges in fraud detection due to the high volume of transactions. Advanced technology and automated systems were adopted to analyze large datasets and spot high-risk trends and anomalies. Despite difficulties managing unstructured data where most fraud occurs, financial crime data analytics enabled the effective review of both structured and unstructured data. This approach helped in preventing fraudulent activities and integrating various data sources for improved detection
- In June 2024, ACI Worldwide and RS2 launched a comprehensive payment solution in Brazil, combining their acquiring and issuing technologies. This cloud-enabled platform allowed financial institutions and payment service providers to efficiently introduce new products and services, enhancing security and reducing costs. The integration of advanced fraud management and real-time analytics benefited the companies by expanding their market reach and increasing revenue opportunities
- In October 2023, ACI Worldwide partnered with Nymcard to enhance its fraud and anti-money laundering capabilities. This partnership allowed Nymcard to quickly and efficiently detect and prevent financial fraud using advanced machine learning and analytics. The deployment via ACI’s public cloud improved scalability, security, and operational efficiency, significantly strengthening Nymcard’s market position in MENA
- In June 2024, DataVisor, Inc. enhanced its multi-tenancy capabilities to provide scalable, secure, and flexible fraud prevention and AML solutions. The upgrade allowed organizations to customize fraud and AML strategies and deploy them across sub-tenants with features like machine learning models and business rules. These enhancements supported sponsor banks with compliance and enabled large financial institutions to centralize data while offering sub-tenancy decision-making. This development benefited DataVisor by strengthening its market position and increasing adoption of its solutions among banking and financial institutions, boosting customer satisfaction and retention
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Содержание
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATIONS
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 MARKETS COVERED
2.2 GEOGRAPHICAL SCOPE
2.3 YEARS CONSIDERED FOR THE STUDY
2.4 DBMR TRIPOD DATA VALIDATION MODEL
2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS
2.6 DBMR MARKET POSITION GRID
2.7 VENDOR SHARE ANALYSIS
2.8 MULTIVARIATE MODELING
2.9 OFFERING TIMELINE CURVE
2.1 MARKET APPLICATION COVERAGE GRID
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 PORTER’S FIVE FORCES
4.2 REGULATORY STANDARDS
4.3 TECHNOLOGICAL TRENDS
4.4 CASE STUDY
4.5 PRICING ANALYSIS
4.6 VALUE CHAIN FOR ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
5 MARKET OVERVIEW
5.1 DRIVERS
5.1.1 RISING NEED FOR ROBUST DETECTION SYSTEMS THAT CAN ADAPT TO NEW THREATS
5.1.2 INCREASED FOCUS ON IDENTITY VERIFICATION AND AUTHENTICATION
5.1.3 GROWING AWARENESS AMONG CONSUMERS ABOUT FRAUD RISKS
5.1.4 INCREASING DEMAND FOR REAL-TIME TRANSACTION MONITORING ACROSS BFSI SECTOR
5.2 RESTRAINTS
5.2.1 HIGH INITIAL INVESTMENT AND ONGOING MAINTENANCE COSTS
5.2.2 ENSURING COMPLIANCE WITH CUSTOMER DATA PRIVACY
5.3 OPPORTUNITIES
5.3.1 UTILIZING AI AND MACHINE LEARNING ALGORITHMS TO ENHANCE ACCURACY
5.3.2 COLLABORATING WITH FINTECH COMPANIES AND TECHNOLOGY PROVIDERS
5.3.3 STREAMLINING FRAUD DETECTION THROUGH AUTOMATION CAN MINIMIZE LABOR COSTS
5.4 CHALLENGES
5.4.1 HIGH VOLUME OF TRANSACTIONS INCREASES DETECTION COMPLEXITY
5.4.2 DIFFICULTY IN ENSURING REGULATORY ALIGNMENT GLOBALLY
6 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOLUTION
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 SUPPORT & MAINTENANCE
6.3.1.2 INTEGRATION SERVICES
6.3.1.3 CONSULTING SERVICES
6.3.1.4 TRAINING & EDUCATION
7 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION
7.1 OVERVIEW
7.2 KYC/CUSTOMER ONBOARDING
7.3 CASE MANAGEMENT
7.4 WATCH LIST SCREENING
7.5 DASHBOARD & REPORTING
7.6 OTHERS
8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE
8.1 OVERVIEW
8.2 CLOUD
8.3 ON-PREMISE
9 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 LARGE SIZE ORGANIZATIONS
9.2.1 CLOUD
9.2.2 ON-PREMISE
9.3 SMALL AND MEDIUM SIZED ORGANIZATIONS
9.3.1 CLOUD
9.3.2 ON-PREMISE
10 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION
10.1 OVERVIEW
10.2 PAYMENT FRAUD DETECTION
10.3 MONEY LAUNDERING DETECTION
10.4 ACCOUNT TAKEOVER PROTECTION
10.5 IDENTITY THEFT PREVENTION
10.6 OTHERS
11 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL
11.1 OVERVIEW
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)
11.2.1 SOLUTION
11.2.2 SERVICES
11.3 RETAIL
11.3.1 SOLUTION
11.3.2 SERVICES
11.4 IT & TELECOMMUNICATION
11.4.1 SOLUTION
11.4.2 SERVICES
11.5 GOVERNMENT & DEFENSE
11.5.1 SOLUTION
11.5.2 SERVICES
11.6 HEALTHCARE
11.6.1 SOLUTION
11.6.2 SERVICES
11.7 MANUFACTURING
11.7.1 SOLUTION
11.7.2 SERVICES
11.8 ENERGY & UTILITIES
11.8.1 SOLUTION
11.8.2 SERVICES
11.9 OTHERS
11.9.1 SOLUTION
11.9.2 SERVICES
12 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION
12.1 ASIA-PACIFIC
12.1.1 CHINA
12.1.2 JAPAN
12.1.3 INDIA
12.1.4 SOUTH KOREA
12.1.5 AUSTRALIA
12.1.6 NEW ZEALAND
12.1.7 INDONESIA
12.1.8 THAILAND
12.1.9 MALAYSIA
12.1.10 SINGAPORE
12.1.11 PHILIPPINES
12.1.12 TAIWAN
12.1.13 VIETNAM
12.1.14 REST OF ASIA PACIFIC
13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
14 SWOT ANALYSIS
15 COMPANY PROFILE
15.1 AMAZON WEB SERVICES, INC.
15.1.1 COMPANY SNAPSHOT
15.1.2 REVENUE ANALYSIS
15.1.3 COMPANY SHARE ANALYSIS
15.1.4 SERVICE PORTFOLIO
15.1.5 RECENT DEVELOPMENTS
15.2 LEXISNEXIS (SUBSIDIARY OF REED ELSEVIER)
15.2.1 COMPANY SNAPSHOT
15.2.2 COMPANY SHARE ANALYSIS
15.2.3 SOLUTION PORTFOLIO
15.2.4 RECENT DEVELOPMENTS
15.3 MASTERCARD
15.3.1 COMPANY SNAPSHOT
15.3.2 REVENUE ANALYSIS
15.3.3 COMPANY SHARE ANALYSIS
15.3.4 SOLUTION PORTFOLIO
15.3.5 RECENT DEVELOPMENTS
15.4 TATA CONSULTANCY SERVICES LIMITED
15.4.1 COMPANY SNAPSHOT
15.4.2 REVENUE ANALYSIS
15.4.3 COMPANY SHARE ANALYSIS
15.4.4 SOLUTION PORTFOLIO
15.4.5 RECENT DEVELOPMENTS
15.5 FISERV, INC.
15.5.1 COMPANY SNAPSHOT
15.5.2 REVENUE ANALYSIS
15.5.3 COMPANY SHARE ANALYSIS
15.5.4 SOLUTION PORTFOLIO
15.5.5 RECENT DEVELOPMENTS
15.6 ABRA INNOVATIONS, INC
15.6.1 COMPANY SNAPSHOT
15.6.2 PRODUCT PORTFOLIO
15.6.3 RECENT DEVELOPMENTS
15.7 ACI WORLDWIDE
15.7.1 COMPANY SNAPSHOT
15.7.2 REVENUE ANALYSIS
15.7.3 SOLUTION PORTFOLIO
15.7.4 RECENT DEVELOPMENTS
15.8 DATAVISOR, INC.
15.8.1 COMPANY SNAPSHOT
15.8.2 SOLUTION PORTFOLIO
15.8.3 RECENT DEVELOPMENTS
15.9 FEATURESPACE LIMITED
15.9.1 COMPANY SNAPSHOT
15.9.2 SOLUTION PORTFOLIO
15.9.3 RECENT DEVELOPMENTS
15.1 FEEDZAI
15.10.1 COMPANY SNAPSHOT
15.10.2 SOLUTION PORTFOLIO
15.10.3 RECENT DEVELOPMENTS
15.11 FICO
15.11.1 COMPANY SNAPSHOT
15.11.2 REVENUE ANALYSIS
15.11.3 SOLUTION PORTFOLIO
15.11.4 RECENT DEVELOPMENT
15.12 GB GROUP PLC (‘GBG’)
15.12.1 COMPANY SNAPSHOT
15.12.2 REVENUE ANALYSIS
15.12.3 PRODUCT PORTFOLIO
15.12.4 RECENT DEVELOPMENTS
15.13 HAWK
15.13.1 COMPANY SNAPSHOT
15.13.2 PRODUCT PORTFOLIO
15.13.3 RECENT DEVELOPMENTS
15.14 INETCO SYSTEMS LTD.
15.14.1 COMPANY SNAPSHOT
15.14.2 PRODUCT PORTFOLIO
15.14.3 RECENT DEVELOPMENTS
15.15 INFORM SOFTWARE
15.15.1 COMPANY SNAPSHOT
15.15.2 SOLUTION PORTFOLIO
15.15.3 RECENT DEVELOPMENTS
15.16 NICE
15.16.1 COMPANY SNAPSHOT
15.16.2 SOLUTION PORTFOLIO
15.16.3 RECENT DEVELOPMENTS
15.17 ORACLE
15.17.1 COMPANY SNAPSHOT
15.17.2 REVENUE ANALYSIS
15.17.3 SERVICE CATEGORY
15.17.4 RECENT DEVELOPMENTS
15.18 QUANTEXA
15.18.1 COMPANY SNAPSHOT
15.18.2 SOLUTION PORTFOLIO
15.18.3 RECENT DEVELOPMENTS
15.19 SANCTION SCANNER
15.19.1 COMPANY SNAPSHOT
15.19.2 PRODUCT PORTFOLIO
15.19.3 RECENT DEVELOPMENTS
15.2 SAS INSTITUTE INC
15.20.1 COMPANY SNAPSHOT
15.20.2 SOLUTION PORTFOLIO
15.20.3 RECENT DEVELOPMENT
15.21 SEON TECHNOLOGIES LTD.
15.21.1 COMPANY SNAPSHOT
15.21.2 PRODUCT PORTFOLIO
15.21.3 RECENT DEVELOPMENTS
15.22 SUM AND SUBSTANCE LTD (UK)
15.22.1 COMPANY SNAPSHOT
15.22.2 SOLUTION PORTFOLIO
15.22.3 RECENT DEVELOPMENTS
15.23 SYMPHONYAI
15.23.1 COMPANY SNAPSHOT
15.23.2 SOLUTION PORTFOLIO
15.23.3 RECENT DEVELOPMENTS
15.24 UBIQUITY
15.24.1 COMPANY SNAPSHOT
15.24.2 REVENUE ANALYSIS
15.24.3 SOLUTION PORTFOLIO
15.24.4 RECENT DEVELOPMENT
15.25 VERAFIN SOLUTIONS ULC (SUBSIDIARY OF NASDAQ INC.)
15.25.1 COMPANY SNAPSHOT
15.25.2 SOLUTION PORTFOLIO
15.25.3 RECENT DEVELOPMENTS
16 QUESTIONNAIRE
17 RELATED REPORTS
Список таблиц
TABLE 1 KEY PLAYERS OF FIUS AROUND THE GLOBE
TABLE 2 PRICING ANALYSIS FOR ENTERPRISES
TABLE 3 PRICING ANALYSIS (MEMCYCO AND OTHER COMPANIES)
TABLE 4 PRICING ANALYSIS (SEON AND ONDATO)
TABLE 5 U.S. STATE WISE ONLINE BANKING FRAUD
TABLE 6 FRAUD DETECTION AND VERIFICATION PRICE OFFERED BY PER COMPANY
TABLE 7 CONSUMER DATA PROTECTION ACT WORLD WIDE
TABLE 8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 9 ASIA-PACIFIC SOLUTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 10 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 11 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 12 ASIA-PACIFIC PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 14 ASIA-PACIFIC KYC/CUSTOMER ONBOARDING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 15 ASIA-PACIFIC CASE MANAGEMENT IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 16 ASIA-PACIFIC WATCH LIST SCREENING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 17 ASIA-PACIFIC DASHBOARD & REPORTING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 18 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 19 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 20 ASIA-PACIFIC CLOUD IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 21 ASIA-PACIFIC ON-PREMISE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 22 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 23 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 24 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 25 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 26 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 27 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 28 ASIA-PACIFIC PAYMENT FRAUD DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 29 ASIA-PACIFIC MONEY LAUNDERING DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 30 ASIA-PACIFIC ACCOUNT TAKEOVER PROTECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 31 ASIA-PACIFIC IDENTITY THEFT PREVENTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 32 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 33 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 34 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 35 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 36 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 37 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 38 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 39 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 40 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 41 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 42 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 43 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 44 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 45 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 46 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 47 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 48 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 49 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 50 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY COUNTRY, 2022-2031 (USD THOUSAND)
TABLE 51 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 52 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 53 ASIA-PACIFIC PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 54 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 55 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 56 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 57 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 58 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 59 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 60 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 61 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 62 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 63 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 64 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 65 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 66 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 67 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 68 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 69 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 70 CHINA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 71 CHINA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 72 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 73 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 74 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 75 CHINA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 76 CHINA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 77 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 78 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 79 CHINA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 80 CHINA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 81 CHINA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 82 CHINA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 83 CHINA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 84 CHINA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 85 CHINA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 86 CHINA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 87 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 88 JAPAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 89 JAPAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 90 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 91 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 92 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 93 JAPAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 94 JAPAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 95 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 96 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 97 JAPAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 98 JAPAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 99 JAPAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 100 JAPAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 101 JAPAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 102 JAPAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 103 JAPAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 104 JAPAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 105 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 106 INDIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 107 INDIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 108 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 109 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 110 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 111 INDIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 112 INDIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 113 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 114 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 115 INDIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 116 INDIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 117 INDIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 118 INDIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 119 INDIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 120 INDIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 121 INDIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 122 INDIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 123 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 124 SOUTH KOREA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 125 SOUTH KOREA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 126 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 127 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 128 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 129 SOUTH KOREA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 130 SOUTH KOREA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 131 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 132 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 133 SOUTH KOREA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 134 SOUTH KOREA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 135 SOUTH KOREA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 136 SOUTH KOREA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 137 SOUTH KOREA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 138 SOUTH KOREA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 139 SOUTH KOREA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 140 SOUTH KOREA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 141 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 142 AUSTRALIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 143 AUSTRALIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 144 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 145 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 146 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 147 AUSTRALIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 148 AUSTRALIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 149 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 150 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 151 AUSTRALIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 152 AUSTRALIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 153 AUSTRALIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 154 AUSTRALIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 155 AUSTRALIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 156 AUSTRALIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 157 AUSTRALIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 158 AUSTRALIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 159 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 160 NEW ZEALAND SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 161 NEW ZEALAND PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 162 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 163 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 164 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 165 NEW ZEALAND LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 166 NEW ZEALAND SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 167 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 168 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 169 NEW ZEALAND BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 170 NEW ZEALAND RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 171 NEW ZEALAND IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 172 NEW ZEALAND GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 173 NEW ZEALAND HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 174 NEW ZEALAND MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 175 NEW ZEALAND ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 176 NEW ZEALAND OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 177 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 178 INDONESIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 179 INDONESIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 180 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 181 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 182 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 183 INDONESIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 184 INDONESIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 185 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 186 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 187 INDONESIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 188 INDONESIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 189 INDONESIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 190 INDONESIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 191 INDONESIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 192 INDONESIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 193 INDONESIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 194 INDONESIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 195 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 196 THAILAND SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 197 THAILAND PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 198 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 199 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 200 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 201 THAILAND LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 202 THAILAND SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 203 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 204 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 205 THAILAND BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 206 THAILAND RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 207 THAILAND IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 208 THAILAND GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 209 THAILAND HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 210 THAILAND MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 211 THAILAND ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 212 THAILAND OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 213 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 214 MALAYSIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 215 MALAYSIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 216 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 217 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 218 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 219 MALAYSIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 220 MALAYSIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 221 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 222 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 223 MALAYSIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 224 MALAYSIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 225 MALAYSIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 226 MALAYSIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 227 MALAYSIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 228 MALAYSIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 229 MALAYSIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 230 MALAYSIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 231 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 232 SINGAPORE SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 233 SINGAPORE PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 234 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 235 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 236 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 237 SINGAPORE LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 238 SINGAPORE SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 239 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 240 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 241 SINGAPORE BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 242 SINGAPORE RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 243 SINGAPORE IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 244 SINGAPORE GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 245 SINGAPORE HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 246 SINGAPORE MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 247 SINGAPORE ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 248 SINGAPORE OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 249 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 250 PHILIPPINES SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 251 PHILIPPINES PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 252 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 253 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 254 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 255 PHILIPPINES LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 256 PHILIPPINES SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 257 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 258 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 259 PHILIPPINES BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 260 PHILIPPINES RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 261 PHILIPPINES IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 262 PHILIPPINES GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 263 PHILIPPINES HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 264 PHILIPPINES MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 265 PHILIPPINES ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 266 PHILIPPINES OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 267 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 268 TAIWAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 269 TAIWAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 270 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 271 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 272 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 273 TAIWAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 274 TAIWAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 275 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 276 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 277 TAIWAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 278 TAIWAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 279 TAIWAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 280 TAIWAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 281 TAIWAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 282 TAIWAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 283 TAIWAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 284 TAIWAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 285 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 286 VIETNAM SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 287 VIETNAM PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 288 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 289 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 290 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 291 VIETNAM LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 292 VIETNAM SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 293 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 294 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 295 VIETNAM BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 296 VIETNAM RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 297 VIETNAM IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 298 VIETNAM GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 299 VIETNAM HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 300 VIETNAM MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 301 VIETNAM ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 302 VIETNAM OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 303 REST OF ASIA PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
Список рисунков
FIGURE 1 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION
FIGURE 2 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DATA TRIANGULATION
FIGURE 3 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DROC ANALYSIS
FIGURE 4 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: ASIA-PACIFIC VS REGIONAL MARKET ANALYSIS
FIGURE 5 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DBMR MARKET POSITION GRID
FIGURE 8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: MULTIVARIATE MODELING
FIGURE 10 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: OFFERING TIMELINE CURVE
FIGURE 11 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: MARKET APPLICATION COVERAGE GRID
FIGURE 12 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION
FIGURE 13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 14 TWO SEGMENTS COMPRISE THE ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING (2023)
FIGURE 15 STRATEGIC DECISIONS
FIGURE 16 RISING NEED FOR ROBUST DETECTION SYSTEMS THAT CAN ADAPT TO NEW THREATS IS EXPECTED TO DRIVE THE ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET DURING THE FORECAST PERIOD OF 2024 TO 2031
FIGURE 17 SOLUTION SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET IN 2024 & 2031
FIGURE 18 TYPE OF FINANCIAL INTELLIGENCE UNITS
FIGURE 19 TRADITIONAL SERVICE TRANSACTION VS BLOCKCHAIN BASED SERVICE TRANSACTION
FIGURE 20 VALUE CHAIN FOR FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 22 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY OFFERING, 2023
FIGURE 23 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY FUNCTION, 2023
FIGURE 24 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY DEPLOYMENT MODE, 2023
FIGURE 25 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY ORGANIZATION SIZE, 2023
FIGURE 26 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY APPLICATION, 2023
FIGURE 27 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY VERTICAL, 2023
FIGURE 28 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SNAPSHOT 2023
FIGURE 29 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY SHARE 2023 (%)
Методология исследования
Сбор данных и анализ базового года выполняются с использованием модулей сбора данных с большими размерами выборки. Этап включает получение рыночной информации или связанных данных из различных источников и стратегий. Он включает изучение и планирование всех данных, полученных из прошлого заранее. Он также охватывает изучение несоответствий информации, наблюдаемых в различных источниках информации. Рыночные данные анализируются и оцениваются с использованием статистических и последовательных моделей рынка. Кроме того, анализ доли рынка и анализ ключевых тенденций являются основными факторами успеха в отчете о рынке. Чтобы узнать больше, пожалуйста, запросите звонок аналитика или оставьте свой запрос.
Ключевой методологией исследования, используемой исследовательской группой DBMR, является триангуляция данных, которая включает в себя интеллектуальный анализ данных, анализ влияния переменных данных на рынок и первичную (отраслевую экспертную) проверку. Модели данных включают сетку позиционирования поставщиков, анализ временной линии рынка, обзор рынка и руководство, сетку позиционирования компании, патентный анализ, анализ цен, анализ доли рынка компании, стандарты измерения, глобальный и региональный анализ и анализ доли поставщика. Чтобы узнать больше о методологии исследования, отправьте запрос, чтобы поговорить с нашими отраслевыми экспертами.
Доступна настройка
Data Bridge Market Research является лидером в области передовых формативных исследований. Мы гордимся тем, что предоставляем нашим существующим и новым клиентам данные и анализ, которые соответствуют и подходят их целям. Отчет можно настроить, включив в него анализ ценовых тенденций целевых брендов, понимание рынка для дополнительных стран (запросите список стран), данные о результатах клинических испытаний, обзор литературы, обновленный анализ рынка и продуктовой базы. Анализ рынка целевых конкурентов можно проанализировать от анализа на основе технологий до стратегий портфеля рынка. Мы можем добавить столько конкурентов, о которых вам нужны данные в нужном вам формате и стиле данных. Наша команда аналитиков также может предоставить вам данные в сырых файлах Excel, сводных таблицах (книга фактов) или помочь вам в создании презентаций из наборов данных, доступных в отчете.
